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      Cogniquest AI

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      AI/ML Intern Interview

      Jun 21, 2026
      Anonymous interview candidate
      Pune
      No offer
      Positive experience
      Average interview

      Application

      I interviewed at Cogniquest AI (Pune)

      Interview

      Interview Interview Difficulty: Moderate to Difficult The interview process was overall technical and focused on both Machine Learning fundamentals and Generative AI concepts. The interviewer asked basic Machine Learning questions, including: How Simple Linear Regression works Assumptions and applications of Linear Regression Working of Support Vector Machine (SVM) Conceptual questions related to classification algorithms The more challenging part of the interview was focused on Generative AI and Large Language Models (LLMs). Questions included: LLM architecture and components How Generative AI models work Transformer architecture Applications and limitations of LLMs The discussion was more concept-oriented rather than coding-focused. Candidates preparing for this role should have a strong understanding of Machine Learning fundamentals and a good grasp of Generative AI and LLM concepts. Overall, the interview was moderate to difficult and suitable for candidates with a solid foundation in AI/ML.

      Interview questions [1]

      Question 1

      How Simple Linear Regression works Assumptions and applications of Linear Regression Working of Support Vector Machine (SVM) Conceptual questions related to classification algorithms The more challenging part of the interview was focused on Generative AI and Large Language Models (LLMs). Questions included: LLM architecture and components How Generative AI models work Transformer architecture Applications and limitations of LLMs The discussion was more concept-oriented rather than coding-focused. Candidates preparing for this role should have a strong understanding of Machine Learning fundamentals and a good grasp of Generative AI and LLM concepts.
      Answer question